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Roger Schank at Stanford University introduced the model in 1969, in the early days of artificial intelligence. [1] This model was extensively used by Schank's students at Yale University such as Robert Wilensky, Wendy Lehnert, and Janet Kolodner. Schank developed the model to represent knowledge for natural language input into computers.
Roger Carl Schank (March 12, 1946 – January 29, 2023) was an American artificial intelligence theorist, cognitive psychologist, learning scientist, educational reformer, and entrepreneur. Beginning in the late 1960s, he pioneered conceptual dependency theory (within the context of natural language understanding ) and case-based reasoning ...
In 1969 Roger Schank introduced the conceptual dependency theory for natural language understanding. [3] This model, partially influenced by the work of Sydney Lamb, was extensively used by Schank's students at Yale University, such as Robert Wilensky, Wendy Lehnert, and Janet Kolodner.
In 1969, Roger Schank at Stanford University introduced the conceptual dependency theory for NLU. [12] This model, partially influenced by the work of Sydney Lamb, was extensively used by Schank's students at Yale University, such as Robert Wilensky, Wendy Lehnert, and Janet Kolodner.
Roger Schank – introduced the conceptual dependency theory for natural-language understanding. [23] Jean E. Fox Tree – Alan Turing – originator of the Turing Test. Joseph Weizenbaum – author of the ELIZA chatterbot. Terry Winograd – professor of computer science at Stanford University, and co-director of the Stanford Human-Computer ...
Roger Schank and Robert Abelson developed the idea of a script, which was known as a generic knowledge of sequences of actions. This led to many new empirical studies, which found that providing relevant schema can help improve comprehension and recall on passages.
Roger Schank, Robert P. Abelson and their research group, extended Tomkins' scripts and used them in early artificial intelligence work as a method of representing procedural knowledge. [1] In their work, scripts are very much like frames, except the values that fill the slots must be ordered. A script is a structured representation describing ...
Roger Schank (Stanford) defined conceptual dependency model for natural language understanding. Later developed (in PhD dissertations at Yale University) for use in story understanding by Robert Wilensky and Wendy Lehnert, and for use in understanding memory by Janet Kolodner.